What do we mean by a neighborhood?
NeighborhoodScout® uses the official government designation for neighborhoods - the census tract.
Census tracts are small, relatively permanent subdivisions of a county that are defined by the U.S. Census Bureau in conjunction with local authorities all across the country to define real neighborhoods that are bounded to contain areas with homogeneous population characteristics (including economic status, lifestyle, and living conditions). Census tracts usually have 4,000 persons, but can range between 1,500 and 8,000 persons. This is the most fine-grained area for which detailed information is made available from the government, to protect the individual privacy of each of us. Because census tracts are based on population, they vary in size depending on the density of settlement. In urban areas, they are small, and in rural areas they can cover an entire small town or even a few small towns in very rural areas.
Since census tracts are subdivisions of a county, we did a spatial overlay of the census tracts onto city and town boundaries using a geographic information system to properly assign each census tract to its appropriate city or town. Then we named each census tract to the local colloquially recognized neighborhood name for that spot (e.g., Boston, MA (Dorchester). If there was not a name available, we named the census tract by the largest street intersection in the census tract (e.g., Worcester, MA (Lincoln St/Plantation St)
Why we don't use Zip Codes as neighborhoods
Zip codes were developed by the Postal Service for the purpose of delivering mail, but were never intended to define coherent neighborhoods. In addition, Zip Codes can have as many as 10 distinctly different census tracts contained within them. When distinct census tracts are blended together in a single Zip Code, the data reflects their average conditions and often gives a false sense of the area. The result is that potentially great matching neighborhoods can be missed, and erroneous matches can also be produced and delivered to you.
Using census tracts makes great matches possible, and helps people find the areas that are best for them and their families. Because we are committed to providing the highest possible quality and finding the neighborhoods that best meet your criteria, we use census tracts. And, as always, we show you the actual street map of the neighborhood so you know exactly where your best matching neighborhood is located.
What is a Condition Alert?
A condition alert is a condition in the neighborhood that triggers an alert. NeighborhoodScout contains condition alerts to highlight conditions that are extreme, whether good or bad. This helps answer crucial questions about the state of the neighborhood being evaluated, such as:
What are the risks of violent crime here?
Is the risk of home break-ins or other property crimes increasing?
Does real estate here hold its value?
Are the trends in local vacancies or unemployment concerning?
...and dozens more.
Information at a glance that you need to know to invest, appraise or finance a property.
University of Mary median real estate price is $309,734, which is more expensive than 60.9% of the neighborhoods in North Dakota and 40.1% of the neighborhoods in the U.S.
The average rental price in University of Mary is currently $1,712, based on NeighborhoodScout's exclusive analysis. The average rental cost in this neighborhood is higher than 91.5% of the neighborhoods in North Dakota.
University of Mary is a rural neighborhood (based on population density) located in Bismarck, North Dakota.
University of Mary real estate is primarily made up of medium sized (three or four bedroom) to small (studio to two bedroom) single-family homes and apartment complexes/high-rise apartments. Most of the residential real estate is owner occupied. Many of the residences in the University of Mary neighborhood are newer, built in 2000 or more recently. A number of residences were also built between 1970 and 1999.
In University of Mary, the current vacancy rate is 2.6%, which is a lower rate of vacancies than 82.6% of all neighborhoods in the U.S. This means that the housing supply in University of Mary is very tight compared to the demand for property here.
Notable & Unique Neighborhood Characteristics
Many things matter about a neighborhood, but the first thing most people notice is the way a neighborhood looks and its particular character. For example, one might notice whether the buildings all date from a certain time period or whether shop signs are in multiple languages. This particular neighborhood in Bismarck, the University of Mary neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
People
There is an especially high percentage of incarcerated people (1.8%) living in the University of Mary neighborhood.
In addition, neighborhoodScout's analysis shows that the University of Mary neighborhood has a greater concentration of residents currently enrolled in college than 96.0% of the neighborhoods in the U.S. With 12.3% of the population here attending college, this is very much a college-focused neighborhood.
Also, if you are an executive or professional seeking a neighborhood affording an executive lifestyle, or just wanting to find where other executives live in the area, the University of Mary neighborhood should be on your list. It has an enviable mix of spacious homes, relatively stable real estate values, and residents that include a number of wealthy executives, managers, and professionals. NeighborhoodScout's exclusive analysis places it as one of the top 14.0% executive lifestyle neighborhoods in the state of North Dakota.
Diversity
Did you know that the University of Mary neighborhood has more German and Norwegian ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 55.0% of this neighborhood's residents have German ancestry and 21.7% have Norwegian ancestry.
University of Mary is also pretty special linguistically. Significantly, 0.7% of its residents five years old and above primarily speak Native American languages at home. While this may seem like a small percentage, it is higher than 96.0% of the neighborhoods in America.
The Neighbors
There are two complementary measures for understanding the income of a neighborhood's residents: the average and the extremes. While a neighborhood may be relatively wealthy overall, it is equally important to understand the rate of people - particularly children - who are living at or below the federal poverty line, which is extremely low income. Some neighborhoods with a lower average income may actually have a lower childhood poverty rate than another with a higher average income, and this helps us understand the conditions and character of a neighborhood.
The neighbors in the University of Mary neighborhood in Bismarck are upper-middle income, making it an above average income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 68.3% of the neighborhoods in America. In addition, 0.5% of the children seventeen and under living in this neighborhood are living below the federal poverty line, which is a lower rate of childhood poverty than is found in 80.0% of America's neighborhoods.
A neighborhood is far different if it is dominated by enlisted military personnel rather than people who earn their living by farming. It is also different if most of the neighbors are clerical support or managers. What is wonderful is the sheer diversity of neighborhoods, allowing you to find the type that fits your lifestyle and aspirations.
In the University of Mary neighborhood, 42.3% of the working population is employed in executive, management, and professional occupations. The second most important occupational group in this neighborhood is sales and service jobs, from major sales accounts, to working in fast food restaurants, with 25.4% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (17.7%), and 14.4% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the University of Mary neighborhood is English, spoken by 97.8% of households. Some people also speak Polish (2.2%).
Ethnicity / Ancestry
Culture is the shared learned behavior of peoples. Undeniably, different ethnicities and ancestries have different cultural traditions, and as a result, neighborhoods with concentrations of residents of one or another ethnicities or ancestries will express those cultures. It is what makes the North End in Boston so fun to visit for the Italian restaurants, bakeries, culture, and charm, and similarly, why people enjoy visiting Chinatown in San Francisco.
In the University of Mary neighborhood in Bismarck, ND, residents most commonly identify their ethnicity or ancestry as German (55.0%). There are also a number of people of Norwegian ancestry (21.7%), and residents who report Irish roots (6.0%), and some of the residents are also of Native American ancestry (4.4%), along with some English ancestry residents (4.1%), among others.
Getting to Work
Even if your neighborhood is walkable, you may still have to drive to your place of work. Some neighborhoods are located where many can get to work in just a few minutes, while others are located such that most residents have a long and arduous commute. The greatest number of commuters in University of Mary neighborhood spend under 15 minutes commuting one-way to work (48.6% of working residents), one of the shortest commutes across America.
Here most residents (78.9%) drive alone in a private automobile to get to work. In addition, quite a number also carpool with coworkers, friends, or neighbors to get to work (8.4%) . In a neighborhood like this, as in most of the nation, many residents find owning a car useful for getting to work.
SCOUT’s patented match algorithm identifies the most similar neighborhoods to a subject location, and quantifies the similarity to the subject location. This allows analysts to identify the most similar neighborhoods in a local market area for appraisals, investments, and research.
The algorithm uses 273 neighborhood conditions, identifies the dominant dimensions underlying the conditions and calculates the similarity. This captures the true culture and character of locations, economic conditions, and trends.
The closer to 100% means the locations are nearly identical. 80% is a very good, but not excellent match, and so forth.
